Participants will learn what data are available in OpenStreetMap that can be used to profile cities and municipalities for socio-economic conditions based on proxy variables. These variables include existence of businesses through establishments and buildings, road network densities and complexities, topographical features, vegetation and water indices, etc. Machine learning models will be used for categorization aided by graph metrics. Results will be cross validated with existing city/municipality tags.